Table Of Contents
- What’s New
- v0.19.2 (December 24, 2016)
- v0.19.1 (November 3, 2016)
- v0.19.0 (October 2, 2016)
- New features
merge_asof
for asof-style time-series joining.rolling()
is now time-series awareread_csv
has improved support for duplicate column namesread_csv
supports parsingCategorical
directly- Categorical Concatenation
- Semi-Month Offsets
- New Index methods
- Google BigQuery Enhancements
- Fine-grained numpy errstate
get_dummies
now returns integer dtypes- Downcast values to smallest possible dtype in
to_numeric
- pandas development API
- Other enhancements
- API changes
Series.tolist()
will now return Python typesSeries
operators for different indexesSeries
type promotion on assignment.to_datetime()
changes- Merging changes
.describe()
changesPeriod
changes- Index
+
/-
no longer used for set operations Index.difference
and.symmetric_difference
changesIndex.unique
consistently returnsIndex
MultiIndex
constructors,groupby
andset_index
preserve categorical dtypesread_csv
will progressively enumerate chunks- Sparse Changes
- Indexer dtype changes
- Other API Changes
- Deprecations
- Removal of prior version deprecations/changes
- Performance Improvements
- Bug Fixes
- New features
- v0.18.1 (May 3, 2016)
- v0.18.0 (March 13, 2016)
- v0.17.1 (November 21, 2015)
- v0.17.0 (October 9, 2015)
- New features
- Backwards incompatible API changes
- Changes to sorting API
- Changes to to_datetime and to_timedelta
- Changes to Index Comparisons
- Changes to Boolean Comparisons vs. None
- HDFStore dropna behavior
- Changes to
display.precision
option - Changes to
Categorical.unique
- Changes to
bool
passed asheader
in Parsers - Other API Changes
- Deprecations
- Removal of prior version deprecations/changes
- Performance Improvements
- Bug Fixes
- v0.16.2 (June 12, 2015)
- v0.16.1 (May 11, 2015)
- v0.16.0 (March 22, 2015)
- v0.15.2 (December 12, 2014)
- v0.15.1 (November 9, 2014)
- v0.15.0 (October 18, 2014)
- v0.14.1 (July 11, 2014)
- v0.14.0 (May 31 , 2014)
- v0.13.1 (February 3, 2014)
- v0.13.0 (January 3, 2014)
- v0.12.0 (July 24, 2013)
- v0.11.0 (April 22, 2013)
- v0.10.1 (January 22, 2013)
- v0.10.0 (December 17, 2012)
- v0.9.1 (November 14, 2012)
- v0.9.0 (October 7, 2012)
- v0.8.1 (July 22, 2012)
- v0.8.0 (June 29, 2012)
- v.0.7.3 (April 12, 2012)
- v.0.7.2 (March 16, 2012)
- v.0.7.1 (February 29, 2012)
- v.0.7.0 (February 9, 2012)
- v.0.6.1 (December 13, 2011)
- v.0.6.0 (November 25, 2011)
- v.0.5.0 (October 24, 2011)
- v.0.4.3 through v0.4.1 (September 25 - October 9, 2011)
- Installation
- Contributing to pandas
- Frequently Asked Questions (FAQ)
- Package overview
- 10 Minutes to pandas
- Tutorials
- Cookbook
- Intro to Data Structures
- Essential Basic Functionality
- Working with Text Data
- Options and Settings
- Indexing and Selecting Data
- MultiIndex / Advanced Indexing
- Computational tools
- Working with missing data
- Group By: split-apply-combine
- Merge, join, and concatenate
- Reshaping and Pivot Tables
- Time Series / Date functionality
- Time Deltas
- Categorical Data
- Visualization
- Style
- IO Tools (Text, CSV, HDF5, ...)
- Remote Data Access
- Enhancing Performance
- Sparse data structures
- Caveats and Gotchas
- rpy2 / R interface
- pandas Ecosystem
- Comparison with R / R libraries
- Comparison with SQL
- Comparison with SAS
- API Reference
- Internals
- Release Notes
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